As most previous works [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, we employed the two most common evaluation metrics, namely the peak signal-to-noise ratio (PSNR) and the structural similarity index (SSIM). The PSNR is the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Although the PSNR is one of the most used metrics for image reconstruction, some researchers [11]}, [12]} argued that it is not highly indicative of the perceived similarity. The SSIM [11]} aims to address this shortcoming by taking contrast, luminance and texture into account. The result of the SSIM is a number between -1 and 1, where a value of 1 means the ground-truth image and the reconstructed image are identical. Similarly, a higher PSNR value indicates a better reconstruction, although the PSNR does not have an upper bound.
